MaxEnt 2010 Final Programs

Tutorial session

Chaired by A. Mohammad-Djafari

1. Information Physics: The New Frontier
   Kevin M. Knuth
   [video] [slide] [paper]

2. Entropic Inference
   Ariel Caticha
   [video] [slide] [paper]

3. High Up from the Ground: A Panoramic View of Inference and MaxEnt
   Carlos Rodriguez
   [video] [slide]

4. Foundations of Computational Inference
   John Skilling
   [video] [slide] [paper]

5. Bayesian programming: principle, methodology, tools and examples
   Pierre Bessière
   [video] [slide]

Oral session 1- General methods and models

Chaired by A. Mohammad-Djafari and J.-F. Bercher

1. Model selection for MR studies of stroke,
   John Lee, Larry Bretthorst, Colin Derdeyn, Joshua Shimony
   [video] [slide]

2. Quantum theory as inductive inference,
   Ryszard Pawel Kostecki
   [paper]

3. Maximum Entropy For Automatic Content Scoring of Free-Text Responses,
   Jana Sukkarieh
   [slide] [paper]

4. Darwinian Model Building,
   Do Kester, Romke Bontokoe
   [slide] [paper]

Oral session 2- Bayesian models of sensory motor systems

Chaired by John Skilling

1. Bayesian inference with spikes. Implication for the neural code, sensory processing and working memory,
   Sophie Deneve
   [video] [slide]

2. Bayesian Action-Perception loop modeling: Application to trajectory generation and recognition using internal motor simulation,
   Estelle Gilet, Julien Diard, Richard Palluel-Germain, Pierre Bessière
   [video] [slide] [paper]

3. Bayesian Modeling of an Human MMORPG Player,
   Gabriel Synnaeve, Pierre Bessière
   [video] [slide] [paper]

4. Bayesian Visual Odometry,
   Julian Center, Kevin Knuth
   [video] [slide] [paper]

5. Maximum entropy perception-action space: a Bayesian model of eye movement selection,
   Francis Colas, Pierre Bessière, Benoît Girard
   [video] [slide] [paper]

Poster session 1: Foundations [video1] [video2]

Chaired by K. Knuth/ L. Lemmens / D. Johnson

1. Adaptive Strategies in the Iterated Exchange Problem,
   Arthur Baraov [paper]

2. Finding Proper Non-informative Priors for Regression Coefficients,
   Noel van Erp, Pieter van Gelder [paper]

3. The Ball is Round
   Do Kester [paper]

4. The order-theoretic origin of special relativity,
   Kevin Knuth, Newshaw Bahrenyi [paper]

5. Non-relativistic Gravity in Entropic Quantum Dynamics,
   David Johnson, Ariel Caticha [paper]

Oral session 3- Algorithms for Maximum Entropy and Bayesian computation

Chaired by Dawn Holmes / Pierre Bessière

1. Advice on “Computational methods for Bayesian model choice",
   John Skilling
   [video] [slide] [paper]

2. Self-Adaptive Semantic Crossover for Genetic Programming,
   Julio Stern, Rafael Inhasz
   [video] [slide] [paper]

3. Entropy-Based Search Algorithm for Experimental Design,
   N. K. Malakar, K. H. Knuth
   [video] [slide] [paper]

4. Nested Sampling with Constrained Hamiltonian Monte Carlo,
   Michael Betancourt
   [video] [slide] [paper]

Oral session 4- Information theory and statistical physics

Chaired by J.-F. Bercher / C. Rodriguez

1. Information theory of quantum systems with some hydrogenic applications,
   Jesus Sanchez-Dehesa, D. Manzano, P. Sánchez-Moreno, R.J. Yáñez
   [video] [slide] [paper]

2. On moments-based Heisenberg inequalities,
   Steeve Zozor, Mariela Portesi, Pablo Sanchez-Moreno, Jesus Dehesa
   [video] [slide] [paper]

3. Rigorous bounds for Renyi entropies of spherically symmetric potentials,
   Pablo Sanchez-Moreno, Steeve Zozor, Jesus Dehesa
   [video] [slide] [paper]

4. Entropic time,
   Ariel Caticha
   [video] [slide] [paper]

5. On q-gaussians, escort distributions and Fisher information,
   Jean-François Bercher
   [video] [slide] [paper]

Poster session 2: Applications [video2] [video3]

Chaired by Ken Sauer / J. Skilling / A. Jalobeanu / D.B. Pougaza

1. Non-extensive radiobiology,
   Oscar Sotolongo-Grau, Daniel Rodriguez-Perez, Carlos Antoranz, Oscar Sotolongo-Costa [paper]

2. Superresolution of a compact neutron spectrometer at energies relevant for fusion diagnostics,
   Marcel Reginatto, Andreas Zimbal [paper]

3. On combined estimation of expected backgrounds with statistical and systematic uncertainties in planned experiment,
   Sergey Bityukov, Nikolai Krasnikov, Vera Smirnova [paper]

4. Towards a Bayesian seismotectonic zoning for use in Probabilistic Seismic Hazard Assessment (PSHA),
   Boris Le Goff, Delphine Fitzenz, Céline Beauval
   [paper]

5. GNU MCSim: Bayesian Statistical Inference for System Biology Models,
   Rudy Gunawan, Frederic Bois [paper]

6. Application of a Bayesian Inference Method to Reconstruct Short-Range Atmospheric Dispersion Events,
   Inanc Senocak [paper]

7. A Bayesian approach to Fourier Synthesis inverse problem with application in SAR imaging,
   Sha Zhu, Ali Mohammad-Djafari [paper]

8. Signals and Images Foreground/Background Joint Estimation and Separation,
   Boujemaa Ait-El-Fquih, Ali Mohammad-Djafari [paper]

9. Online robot dead reckoning localization using maximum relative entropy optimization with model constraints,
   Renaldas Urniezius [paper]

Oral session 4- Bayesian algorithms for multi-channel image analysis

Chaired by N. Dobigeon / I. Smith

1. Three-dimensional visualization and identification of objects in photon starved scenes using statistical estimation,
   Bahram Javidi, Dipak Dey, M. Cho, M. Jung
   [video] [slide] [paper]

2. Bayesian fusion of hyperspectral astronomical images,
   André Jalobeanu, Matthieu Petremand, Christophe Collet
   [video] [slide] [paper]

3. Unmixing hyperspectral images using Markov random fields,
   Olivier Eches, Nicolas Dobigeon, Jean-Yves Tourneret, .
   [video] [slide] [paper]

4. An Investigation of Likelihoods and Priors for Bayesian Endmember Estimation,
   Alina Zare, Paul Gader
   [video] [slide] [paper]

5. Multichannel SAR Image Classification by Finite Mixtures, Copula Theory and Markov Random Fields,
   Vladimir A. Krylov, Gabriele Moser, Sebastiano B. Serpico, Josiane Zerubia
   [video] [slide] [paper]

Oral session 5: Non parametric methods and experimental design

Chaired by E. Mazer / A. van de Ven

1. Maximum Entropies Copulas,
   Doriano-Boris Pougaza, Ali Mohammad-Djafari
   [video] [slide] [paper]

2. Digital Particle image velocimetry using splines in tension,
   Udo von Toussaint, Silvio Gori
   [video] [slide] [paper]

3. Confidence distributions in statistical inference,
   Sergey Bityukov, Nikolai Krasnikov, Saralees Nadaraja, Vera Smirnova
   [video] [slide] [paper]

Oral session 6: Bayesian and maximum entropy inference in action: applications

Chaired by B. Javidi / H. Von Toussaint

1. The use of bayesian programming in industrial applications,
   Emmanuel Mazer
   [video] [slide]

2. Parameter Estimation as a Problem in Statistical Thermodynamics,
   Keith Earle, David Schneider
   [video] [slide] [paper]

3. Reinforcement Learning by Relative Entropy Policy Search,
   Jan Peters, Katharina Muelling, Yevgeny Seldin, Yasemin Altun
   [video] [slide] [paper]

4. Bayesian Techniques for Parameter Inference and Knowledge Fusion in Prognostics and Health Management A Case Study,
   Masoud Rabiei, Mohammad Modarres, Ali Mohammad-Djafari
   [video] [slide] [paper]

5. ID image characterization by entropic biometric decomposition,
   Smoaca Andreea, Coltuc Daniela, Fournel Thierry
   [video] [slide] [paper]

Poster session 3: Methods and Algorithms [video3] [video4]

Chaired by J. Stern/ K. Sauer / Ayasso

1. The Posterior distribution of the Likelihood Ratio as a measure of evidence,
   Isabelle Smith, André Ferrari [paper]

2. Speed-gradient principle for description of transient dynamics in systems obeying maximum entropy principle,
   Alexander Fradkov, Anton Krivtsov [paper]

3. Generalized maximum entropy principle, superstatistics and problem of networks classification,
   Bahruz Gadjiev [paper]

4. Comparative analysis of collaboration networks,
   Tatiana Progulova, Bahruz Gadjiev [paper]

5. A Method for Evaluating Tuning Functions of Single Neurons based on Mutual Information Maximization,
   Lukas Brostek, Thomas Eggert, Seiji Ono, Michael J. Mustari, Ulrich Büttner, Stefan Glasauer [paper]

6. Gaussian Process Segmentation of Co-Moving Animals,
   Steven Reece, Richard Mann, Iead Rezek, Stephen Roberts [paper]

Oral session 7: Foundations

Chaired by A. Garrett

1. Logarithm ubiquity in statistics, information, acoustics, ...,
   Michel Maurin
   [video] [slide] [paper]

Oral session 8: Markovian Processes

Chaired by S. Zozor

1. Spectral Design in Markov Random Fields,
   Jiao Wang, Jean-Baptiste Thibault, Zhou Yu, Ken Sauer, Charles Bouman
   [video] [slide] [paper]

2. On Burg entropy of wide Markov chains,
   Valérie Girardin
   [video] [slide] [paper]

Oral session 8: Information geometry and information theory

Chaired by V. Girardin

1. Geometric and Topological Invariants of the Hypothesis Space,
   Carlos Rodriguez
   [video] [slide] [paper]

2. Geometry of Covariance Matrices and Computation of Median,
   Le Yang, Marc Arnaudon, Frédéric Barbaresco
   [video] [slide] [paper]

Final discussions [video]

MaxEnt2010 photos [pdf file containing all photos] [folder of photos]